# Alternatives to CrewAI

CrewAI is a Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a crew.

CrewAI ranks #3 of 10 in AI agent frameworks, with an Alt Score of 93. It is licensed under MIT, open source with paid hosting from Free and available on Linux, macOS, Windows and Web. 13 of 13 checklist rows are verified against a public source.

Source: https://altcatalog.com/alternatives/crewai/
Category: AI agent frameworks

## Overview

- **Who it's for**: Python developers and teams building multi-agent AI automations who need both autonomous agent collaboration and precise, event-driven workflow control, from prototyping through production.
- **What you get**: An open-source (MIT-licensed) Python framework for orchestrating role-based agent 'Crews' and stateful, event-driven 'Flows', with built-in tool use, memory, knowledge/RAG, and multi-LLM support; an optional CrewAI AMP platform adds managed hosted deployment, observability, and enterprise support.
- **How it works**: Developers define agents (role, goal, tools, LLM) and tasks in YAML or Python, then compose them into a Crew for autonomous collaboration or a Flow for explicit stateful control, combining both as needed; workflows run locally or can be deployed to CrewAI's hosted Control Plane/AMP platform for monitoring and management.

## Profile

- **License**: MIT (verified 2026-07-16)
- **Pricing model**: OSS + paid hosting (verified 2026-07-16)
- **Starts at**: Free (verified 2026-07-16)
- **Platforms**: Linux, macOS, Windows, Web
- **Status**: active (verified 2026-07-16)

## Ranked alternatives

| # | App | Alt Score | Licence | Platforms |
|---|-----|-----------|---------|-----------|
| 1 | [LangGraph](https://altcatalog.com/alternatives/langgraph.md) | 100 | MIT License | Linux, macOS, Windows, Web |
| 2 | [LlamaIndex](https://altcatalog.com/alternatives/llamaindex.md) | 96 | MIT License | ? |
| 3 | [Haystack](https://altcatalog.com/alternatives/haystack.md) | 93 | Apache-2.0 | ? |
| 4 | [Mastra](https://altcatalog.com/alternatives/mastra.md) | 93 | Apache License 2.0 | ? |
| 5 | [Agno](https://altcatalog.com/alternatives/agno.md) | 86 | Apache-2.0 | ? |
| 6 | [AutoGen](https://altcatalog.com/alternatives/autogen.md) | 86 | MIT | Linux, macOS, Windows |
| 7 | [Semantic Kernel](https://altcatalog.com/alternatives/semantic-kernel.md) | 86 | MIT | Linux, macOS, Windows |
| 8 | [OpenAI Agents SDK](https://altcatalog.com/alternatives/openai-agents-sdk.md) | 83 | MIT | ? |
| 9 | [Pydantic AI](https://altcatalog.com/alternatives/pydantic-ai.md) | 79 | MIT | ? |

Alt Score = Verified coverage (90%) + Visibility (10%). See https://altcatalog.com/how-alt-score-works/

## Feature comparison

Legend: Yes / No / Partial / ? (not verified).

| AI agent frameworks checklist | CrewAI | LangGraph | LlamaIndex | Haystack | Mastra | Agno |
|---|---|---|---|---|---|---|
| Pricing model | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting | OSS + paid hosting |
| Starts at | Free | $39/seat/month (LangSmith Plus plan, includes LangGraph hosted deployment; usage-based charges apply on top) | $50/month (LlamaParse Starter) | Free | $250/month | $150/month |
| License | MIT | MIT License | MIT License | Apache-2.0 | Apache License 2.0 | Apache-2.0 |
| Platforms | Linux, macOS, Windows, Web | Linux, macOS, Windows, Web | ? | ? | ? | ? |
| Open source | Yes | Yes | Yes | Yes | Yes | Yes |
| Language (Python) | Yes | Yes | Yes | Yes | No | ? |
| Language (JS/TS) | No | Yes | Partial | No | Yes | ? |
| Multi-agent orchestration | Yes | Yes | Yes | Yes | Yes | Yes |
| Graph / stateful workflows | Yes | Yes | Yes | Yes | Yes | Yes |
| Human-in-the-loop | Yes | Yes | Yes | Yes | Yes | Yes |
| Streaming support | Yes | Yes | Yes | Yes | Yes | Yes |
| Built-in memory / state persistence | Yes | Yes | Yes | Yes | Yes | Yes |
| Tool / function calling | Yes | Yes | Yes | Yes | Yes | Yes |
| Model-agnostic (multi-provider) | Yes | Yes | Yes | Yes | Yes | Yes |
| Observability / tracing integration | Yes | Yes | Yes | Yes | Yes | Yes |
| Managed / hosted deployment | Yes | Yes | Yes | Yes | Yes | Yes |
| RAG support | Yes | Yes | Yes | Yes | Yes | Yes |

## Sources

Sources for CrewAI. Each alternative is sourced on its own page.

- **License**: MIT — <https://raw.githubusercontent.com/crewAIInc/crewAI/main/README.md> (verified 2026-07-16)
  - Quote: “CrewAI is released under the [MIT License](https://github.com/crewAIInc/crewAI/blob/main/LICENSE).”
- **Pricing model**: OSS + paid hosting — <https://raw.githubusercontent.com/crewAIInc/crewAI/main/README.md> (verified 2026-07-16)
  - Note: Core framework is open-source/MIT; CrewAI AMP is a paid hosted platform with a free 'Basic' tier and a custom-priced 'Enterprise' tier per crewai.com/pricing.
  - Quote: “For organizations that need a commercial control plane around CrewAI, CrewAI AMP Suite adds managed deployment, observability, governance, security, and enterprise support.”
- **Starts at**: Free — <https://www.crewai.com/pricing> (verified 2026-07-16)
  - Note: Pricing page lists 'Basic' at 'Free' (50 workflow executions/month); the only other tier, 'Enterprise', is priced 'Custom' and not publicly disclosed.
  - Quote: “Basic

### Free

Build an agentic workflow today, and see what's possible with collaborative AI agents.”
- **Platforms**: Linux, macOS, Windows, Web — <https://raw.githubusercontent.com/crewAIInc/crewAI/main/README.md> (verified 2026-07-16)
  - Note: CrewAI is a pip-installable Python library whose own telemetry documentation names macOS/Windows/Linux as tracked OS environments; 'Web' added because CrewAI offers a hosted Control Plane/Studio at ap
  - Quote: “General OS (e.g. number of CPUs, macOS/Windows/Linux)”
- **Status**: active — <https://api.github.com/repos/crewAIInc/crewAI> (verified 2026-07-16)
  - Note: archived": false, "pushed_at": "2026-07-16T20:06:01Z"}" — Repository is not archived and had a release (v1.15.3) published the same day as this research (2026-07-16).
  - Quote: “{”
- **Open source**: Yes — <https://raw.githubusercontent.com/crewAIInc/crewAI/main/README.md> (verified 2026-07-16)
  - Quote: “CrewAI is an open-source Python framework with high-level abstractions and low-level APIs for building production-ready multi-agent workflows.”
- **Language (Python)**: Yes — <https://raw.githubusercontent.com/crewAIInc/crewAI/main/README.md> (verified 2026-07-16)
  - Quote: “CrewAI is an open-source Python framework with high-level abstractions and low-level APIs for building production-ready multi-agent workflows.”
- **Language (JS/TS)**: No — <https://raw.githubusercontent.com/crewAIInc/crewAI/main/README.md> (verified 2026-07-16)
  - Note: No official JS/TS SDK found; README FAQ confirms Python-only core with integration to other languages only via API calls.
  - Quote: “A: CrewAI is primarily Python-based but easily integrates with services and APIs written in any programming language through its flexible API integration capabilities.”
- **Multi-agent orchestration**: Yes — <https://docs.crewai.com/en/introduction> (verified 2026-07-16)
  - Quote: “Crews are teams of autonomous agents that collaborate to solve specific tasks”
- **Graph / stateful workflows**: Yes — <https://docs.crewai.com/en/introduction> (verified 2026-07-16)
  - Quote: “Flows allow you to create structured, event-driven workflows that manage state and control execution.”
- **Human-in-the-loop**: Yes — <https://raw.githubusercontent.com/crewAIInc/crewAI/main/README.md> (verified 2026-07-16)
  - Quote: “A: Yes, CrewAI fully supports human-in-the-loop workflows, allowing seamless collaboration between human experts and AI agents for enhanced decision-making.”
- **Streaming support**: Yes — <https://docs.crewai.com/en/concepts/llms> (verified 2026-07-16)
  - Quote: “Enable streaming by setting the `stream` parameter to `True` when initializing your LLM”
- **Built-in memory / state persistence**: Yes — <https://docs.crewai.com/en/introduction> (verified 2026-07-16)
  - Note: README also lists memory explicitly: 'Agent-ready capabilities: Use tools, memory, knowledge, checkpointing, async execution, and MCP/A2A support for more capable production agents.'
  - Quote: “State Management: Persist data across steps and executions.”
- **Tool / function calling**: Yes — <https://docs.crewai.com/en/introduction> (verified 2026-07-16)
  - Quote: “Flexible Tools: Connect your agents to any API, database, or local tool.”
- **Model-agnostic (multi-provider)**: Yes — <https://raw.githubusercontent.com/crewAIInc/crewAI/main/README.md> (verified 2026-07-16)
  - Quote: “CrewAI supports using various LLMs through a variety of connection options.”
- **Observability / tracing integration**: Yes — <https://docs.crewai.com/en/observability/overview> (verified 2026-07-16)
  - Note: Page lists named integrations including Langfuse, MLflow, Arize Phoenix, Portkey, Opik, and Weave.
  - Quote: “Observability is crucial for understanding how your CrewAI agents perform, identifying bottlenecks, and ensuring reliable operation in production environments.”
- **Managed / hosted deployment**: Yes — <https://docs.crewai.com/en/enterprise/introduction> (verified 2026-07-16)
  - Quote: “Deploy your crews to a managed infrastructure with a few clicks”
- **RAG support**: Yes — <https://docs.crewai.com/en/concepts/knowledge> (verified 2026-07-16)
  - Quote: “CrewAI exposes a provider-neutral RAG client abstraction for vector stores. The default provider is ChromaDB, and Qdrant is supported as well.”

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Ranked by verified data, never by who paid. https://altcatalog.com/trust/